Mean Non-HDL cholesterol, age-standardized in Lower-middle income (World Bank)
Lower-middle income (World Bank): Mean Non-HDL cholesterol, age-standardized was 3.3 in 2018. ▲ Rising
Mean Non-HDL cholesterol, age-standardized in Lower-middle income (World Bank), 1980–2018
Source: World Health Organization, Global Health Observatory.
Analysis
In 2018, mean non-hdl cholesterol, age-standardized in Lower-middle income (World Bank) stood at 3.3. That is the highest value across all 39 years on record.
That represents a change of unchanged over ten years.
Over the whole period, mean non-hdl cholesterol, age-standardized in Lower-middle income (World Bank) peaked at 3.3 in 2000 and was at its lowest, 3.1, in 1980.
The long-run direction has been consistently rising across the 39 years of available data.
Mean Non-HDL cholesterol, age-standardized in Lower-middle income (World Bank), year by year
| Year | Value | Change |
|---|---|---|
| 1980 | 3.1 | — |
| 1981 | 3.1 | +0.0% |
| 1982 | 3.1 | +0.0% |
| 1983 | 3.1 | +0.0% |
| 1984 | 3.1 | +0.0% |
| 1985 | 3.1 | +0.0% |
| 1986 | 3.1 | +0.0% |
| 1987 | 3.1 | +0.0% |
| 1988 | 3.2 | +3.2% |
| 1989 | 3.2 | +0.0% |
| 1990 | 3.2 | +0.0% |
| 1991 | 3.2 | +0.0% |
| 1992 | 3.2 | +0.0% |
| 1993 | 3.2 | +0.0% |
| 1994 | 3.2 | +0.0% |
| 1995 | 3.2 | +0.0% |
| 1996 | 3.2 | +0.0% |
| 1997 | 3.2 | +0.0% |
| 1998 | 3.2 | +0.0% |
| 1999 | 3.2 | +0.0% |
| 2000 | 3.3 | +3.1% |
| 2001 | 3.3 | +0.0% |
| 2002 | 3.3 | +0.0% |
| 2003 | 3.3 | +0.0% |
| 2004 | 3.3 | +0.0% |
| 2005 | 3.3 | +0.0% |
| 2006 | 3.3 | +0.0% |
| 2007 | 3.3 | +0.0% |
| 2008 | 3.3 | +0.0% |
| 2009 | 3.3 | +0.0% |
| 2010 | 3.3 | +0.0% |
| 2011 | 3.3 | +0.0% |
| 2012 | 3.3 | +0.0% |
| 2013 | 3.3 | +0.0% |
| 2014 | 3.3 | +0.0% |
| 2015 | 3.3 | +0.0% |
| 2016 | 3.3 | +0.0% |
| 2017 | 3.3 | +0.0% |
| 2018 | 3.3 | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 3.12 | 3.1 | 3.2 | 10 |
| 1990s | 3.2 | 3.2 | 3.2 | 10 |
| 2000s | 3.3 | 3.3 | 3.3 | 10 |
| 2010s | 3.3 | 3.3 | 3.3 | 9 |
Countries ranked near Lower-middle income (World Bank)
More health data for Lower-middle income (World Bank)
- Pertussis - number of reported cases, gaps filled 7,080 (2025)
- Total tetanus - number of reported cases, gaps filled 16,092 (2025)
- Diphtheria - number of reported cases, gaps filled 20,601 (2025)
- Measles - number of reported cases, gaps filled 97,321 (2025)
- Measles - number of reported cases, annual growth rate -8.83 % change on previous year (2025)
- Pertussis - number of reported cases, annual growth rate -40.79 % change on previous year (2025)
- Total tetanus - number of reported cases, annual growth rate 117.14 % change on previous year (2025)
- Diphtheria - number of reported cases 20,601 (2025)
- Total tetanus - number of reported cases 16,092 (2025)
- Pertussis - number of reported cases 7,080 (2025)
Frequently asked questions
- What is mean non-hdl cholesterol, age-standardized in Lower-middle income (World Bank)?
- Mean non-hdl cholesterol, age-standardized in Lower-middle income (World Bank) was 3.3 in 2018, according to World Health Organization, Global Health Observatory.
- What is the highest mean non-hdl cholesterol, age-standardized recorded in Lower-middle income (World Bank)?
- The highest recorded value was 3.3 in 2000.
- What is the lowest mean non-hdl cholesterol, age-standardized recorded in Lower-middle income (World Bank)?
- The lowest recorded value was 3.1 in 1980.
- How does Lower-middle income (World Bank) rank for mean non-hdl cholesterol, age-standardized?
- Lower-middle income (World Bank) ranks 6th out of 11 groups with data for 2018.
- Is mean non-hdl cholesterol, age-standardized rising or falling in Lower-middle income (World Bank)?
- Over the last ten years it is unchanged. The long-run trend across the full record is rising.
- Where does this Lower-middle income (World Bank) data come from?
- The figures come from World Health Organization, Global Health Observatory, published as part of Mean Non-HDL cholesterol, age-standardized. Statizoid updates them automatically from the source API.
Download this data
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